# Quick Start: Jupyter notebook for off-the-shelf inference

[![TensorFlow 2.2](https://img.shields.io/badge/TensorFlow-2.2-FF6F00?logo=tensorflow)](https://github.com/tensorflow/tensorflow/releases/tag/v2.2.0)
[![TensorFlow 1.15](https://img.shields.io/badge/TensorFlow-1.15-FF6F00?logo=tensorflow)](https://github.com/tensorflow/tensorflow/releases/tag/v1.15.0)

If you'd like to hit the ground running and run detection on a few example
images right out of the box, we recommend trying out the Jupyter notebook demo.
To run the Jupyter notebook, run the following command from
`tensorflow/models/research/object_detection`:

```
# From tensorflow/models/research/object_detection
jupyter notebook
```

The notebook should open in your favorite web browser. Click the
[`object_detection_tutorial.ipynb`](../colab_tutorials/object_detection_tutorial.ipynb) link to
open the demo.
